Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ozge C. Ozcanli"'
Publikováno v:
International Journal of Computer Vision. 116:226-246
This paper addresses the problem of determining the location of a ground level image by using geo-referenced overhead imagery. The input query image is assumed to be given with no meta-data and the content of the image is to be matched to a priori co
Publikováno v:
International Journal of Computer Vision. 116:263-277
Modern satellites tag their images with geolocation information using GPS and star tracking systems. Depending on the quality of the geopositioning equipment, errors may range from a few meters to tens of meters on the ground. At the current state of
Publikováno v:
CVPR Workshops
High-resolution and accurate Digital Elevation Model (DEM) generation from satellite imagery is a challenging problem. In this work, a stereo 3-D reconstruction framework is outlined that is applicable to nonstereoscopic satellite image pairs that ma
Publikováno v:
CVPR Workshops
Modern satellites tag their images with geo-location information using GPS and star tracking systems. Depending on the quality of the geo-positioning equipment, geo-location errors may range from a few meters to tens of meters on the ground. At the c
Publikováno v:
SPIE Newsroom.
Autor:
Ozge C. Ozcanli, Joseph L. Mundy
Publikováno v:
ICPR
Over the last several years, a new probabilistic representation for 3-d volumetric modeling has been developed. The main purpose of the model is to detect deviations from the normal appearance and geometry of the scene, i.e. change detection. In this
Autor:
Swaminathan Manickam, Ozge C. Ozcanli, Stephen F. Bush, Benjamin D. Garrett, Glen William Brooksby, Gil Abramovich
Publikováno v:
SPIE Proceedings.
We present four new change detection methods that create an automated change map from a probability map. In this case, the probability map was derived from a 3D model. The primary application of interest is aerial photographic applications, where the
Autor:
Ozge C. Ozcanli, Joseph L. Mundy
Publikováno v:
Automatic Target Recognition XIX.
Over the last several years, a new representation for geometry has been developed, based on a 3-d probability distribution of surface position and appearance. This representation can be constructed from multiple images, using both still and video dat
Autor:
Benjamin B. Kimia, Ozge C. Ozcanli
Publikováno v:
BMVC
We propose a new methodology to partition a natural image into regions based on the shock graph of its contour fragments. We show that these regions, or shock patch fragments, are often object fragments, thus effecting a partial segmentation of the i
Publikováno v:
CVPR (1)
Shape is an important cue for generic object recognition but can be insufficient without other cues such as object appearance. We explore a number of ways in which the geometric aspects of an object can be augmented with its appearance. The main idea